Bioinformatics approach for choosing the correct reference genes when studying gene expression in human keratinocytes

Experimental Dermatology

Volumn 24, Issue 10, 2015, Pages 742-747

  Beer, Lucian ^a,b   Mlitz, Veronika ^a   Gschwandtner, Maria ^a   Berger, Tanja ^a   Narzt, Marie Sophie ^a   Gruber, Florian ^a   Brunner, Patrick M ^a   Tschachler, Erwin ^a   Mildner, Michael ^a  

^a Universitatsklinik fur Dermatologie   (Austria)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Keratinocyte; Microarray; Psoriasis; qRT PCR; Reference gene

Indexed keywords

ARTICLE; BIOINFORMATICS; GENE; GENE EXPRESSION; HUMAN; HUMAN CELL; HUMAN CELL CULTURE; KERATINOCYTE; PSEUDOGENE; PSORIASIS; REFERENCE GENE; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SKIN BIOPSY; SKIN CULTURE; BIOLOGY; CELL DIFFERENTIATION; COMPUTER PROGRAM; GENETIC DATABASE; GENETICS; PROCEDURES; REFERENCE VALUE; VALIDATION STUDY;

ACTIN; ALPHA6 INTEGRIN; BETA 2 MICROGLOBULIN; BETA GLUCURONIDASE; BIOLOGICAL MARKER; CYTOKERATIN 5; GLYCERALDEHYDE 3 PHOSPHATE DEHYDROGENASE; ITGA6 PROTEIN, HUMAN; LECTIN; OS9 PROTEIN, HUMAN; PGK1 PROTEIN, HUMAN; PHOSPHOGLYCERATE KINASE; PROTEIN S 100; RIBOSOMAL PROTEIN P0; RIBOSOME PROTEIN; S100A7 PROTEIN, HUMAN; SDHA PROTEIN, HUMAN; SUCCINATE DEHYDROGENASE (UBIQUINONE); TOLL LIKE RECEPTOR; TUMOR MARKER; TUMOR PROTEIN; TUMOR PROTEIN, TRANSLATIONALLY-CONTROLLED 1;

ACTINS; BETA 2-MICROGLOBULIN; BIOMARKERS; BIOMARKERS, TUMOR; CELL DIFFERENTIATION; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; ELECTRON TRANSPORT COMPLEX II; GENE EXPRESSION; GLUCURONIDASE; GLYCERALDEHYDE-3-PHOSPHATE DEHYDROGENASES; HUMANS; INTEGRIN ALPHA6; KERATIN-5; KERATINOCYTES; LECTINS; NEOPLASM PROTEINS; PHOSPHOGLYCERATE KINASE; PSORIASIS; REFERENCE VALUES; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RIBOSOMAL PROTEINS; S100 PROTEINS; SOFTWARE; TOLL-LIKE RECEPTORS;

EID: 84942293534     PISSN: 09066705     EISSN: 16000625     Source Type: Journal    
DOI: 10.1111/exd.12759     Document Type: Article

References (23)

1. Bustin S A, Benes V, Garson J et al. Nat Methods 2013: 10: 1063-1067.
2. Bar M, Bar D, Lehmann B. J Invest Dermatol 2009: 129: 535-537.
3. Bustin S A, Benes V, Garson J A et al. Clin Chem 2009: 55: 611-622.
4. Bustin S A. J Mol Endocrinol 2002: 29: 23-39.
5. Thellin O, Zorzi W, Lakaye B et al. J Biotechnol 1999: 75: 291-295.
6. Balogh A, Paragh G Jr, Juhasz A et al. J Photochem Photobiol, B 2008: 93: 133-139.
7. Minner F, Poumay Y. J Invest Dermatol 2009: 129: 770-773.
8. Vandesompele J, De Preter K, Pattyn F et al. Genome Biol 2002: 3: RESEARCH0034.
9. Pfaffl M W, Tichopad A, Prgomet C et al. Biotechnol Lett 2004: 26: 509-515.
10. Andersen C L, Jensen J L, Orntoft T F. Cancer Res 2004: 64: 5245-5250.
11. Silver N, Best S, Jiang J et al. BMC Mol Biol 2006: 7: 33.
12. Hruz T, Laule O, Szabo G et al. Adv Bioinformatics 2008: 2008: 420747.
13. Hruz T, Wyss M, Docquier M et al. BMC Genom 2011: 12: 156.
14. Cork M J, Danby S G, Vasilopoulos Y et al. J Invest Dermatol 2009: 129: 1892-1908.
15. Allen D, Winters E, Kenna P F et al. J Dermatol Sci 2008: 49: 217-225.
16. Riemer A B, Keskin D B, Reinherz E L. Exp Dermatol 2012: 21: 625-629.
17. Abtin A, Eckhart L, Mildner M et al. FASEB J 2008: 22: 2168-2176.
18. Gruber F, Mayer H, Lengauer B et al. FASEB J 2010: 24: 39-48.
19. Williamson J C, Scheipers P, Schwammle V et al. J Proteomics 2013: 94: 176-185.
20. Bustin S A, Benes V, Nolan T et al. J Mol Endocrinol 2005: 34: 597-601.
21. Campos M S, Rodini C O, Pinto-Junior D S et al. Oral Oncol 2009: 45: 121-126.
22. Malaisse J, Hermant M, Hayez A et al. Exp Dermatol 2014: 23: 754-756.
23. Wu Y Y, Rees J L. Acta Derm Venereol 2000: 80: 2-3.